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The KAI Artificial Intelligence Lab @ the Malawi University of Business and Applied Sciences invites you to:
28th March 2024 at Amaryllis Hotel in Blantyre, Malawi
March 28 Can Generative AI provide solutions for challenges faced in healthcare in Malawi? | |
Time | Session + Activities |
8 - 8:30 am | Registration |
8:30 - 9:00 am | Welcome and Introduction Opening remarks from workshop organizers Welcome remarks: Dr. Patrick Chikumba, MUBAS Guest of Honor: Dr. Mbewe, Digital Health Malawi |
9:00 - 9.15 am | Overview of the workshop objectives and the importance of the IntelSurv project (Dr. Amelia Taylor) |
9.15 - 09:35 am | IntelSurv's Journey from Concept to Reality: Personal Insights (Dr. Liwewe) |
09:35 - 10.20 am | IntelSurv in Action – demo (Amelia Taylor and Macphail Magwira) |
10.20 - 11 am | Coffee break |
11:00 - 11.20 am | The integrated disease surveillance approach in Malawi Mr Edward Tchado, The Public Health Institute of Malawi |
11.20 - 11:40 pm | Digital Health programs and opportunities and needs Dr. Mbewe – Director of Digital Health Malawi |
11.40 - 12:30 pm | Testing Generative AI – Human In the Loop - Interactive Session Evie Chapuma & Chisomo Kankhwali |
12.30 - 1.30 pm | Lunch Break |
March 28 Can Generative AI provide solutions for challenges faced in healthcare in Malawi? | |
Time | Session + Activities |
1:30 - 2:10 pm | Using GenAI to transform decision making for Public Health officials Presenter: John Gitonga, Dalberg Data Insights |
2:10 - 3 pm | Opportunities and Pitfalls of Applying Generative AI in Healthcare Talk: Dr. Amelia Taylor |
3 - 3:30 pm | Local Languages and IntelSurv Contributors: Paul Kazembe |
3:30 - 3.50pm | DIscussions and Tea Break |
3:50 - 4pm | Closing Remarks A member of IntelSurv Team |
Synopsis
In many lower and middle-income countries, lack of resources affects the availability and quality of learning and training. In the healthcare domain, access to knowledge can make the difference between life and death. We present evidence through IntelSurv that generative AI could be leveraged to facilitate needs-driven and self-directed learning for healthcare professionals who work in rural and remote communities. The availability and use of technical and clinical guidelines are essential for the quality of care. During the COVID-19 pandemic, in many countries including Malawi, technical guidelines for disease surveillance were not readily available to health professionals resulting in knowledge gaps about case definitions that lead to data entry errors. Clinical guidelines tend to be bulky and complex, full of technical terms that are hard to understand. Guidelines need to be simple and suited to the environment in which they will be implemented. Healthcare staff need up-to-date timely access to guidance on case definitions for surveillance, treatment protocols, and relevant clinical and medical knowledge.
IntelSurv is a web app that uses LLMs to achieve a ‘chat’-like functionality where users ask questions about priority diseases. IntelSurv works offline and online and can be installed as a persistent web app on a mobile phone. IntelSurv breaks down complicated documents with clinical and surveillance guidelines and allows the user to search for information using direct questions and answers. IntelSurv knowledge database is structured in three domains or contexts:
Questions and Answers on disease surveillance, medical terms, and health scenarios. This knowledge is given by official guidelines documents.
Disease surveillance forms and associated guidance on how to complete fields on forms and the rationale behind the use of and importance of data collected.
Case definitions for notifiable diseases.